Yanli Ni

3.3k total citations
32 papers, 1.3k citations indexed

About

Yanli Ni is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Yanli Ni has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Immunology and 11 papers in Cell Biology. Recurrent topics in Yanli Ni's work include Zebrafish Biomedical Research Applications (11 papers), Single-cell and spatial transcriptomics (9 papers) and Immune Cell Function and Interaction (8 papers). Yanli Ni is often cited by papers focused on Zebrafish Biomedical Research Applications (11 papers), Single-cell and spatial transcriptomics (9 papers) and Immune Cell Function and Interaction (8 papers). Yanli Ni collaborates with scholars based in China, Montenegro and India. Yanli Ni's co-authors include Bing Liu, Yu Lan, Jing Zhang, Zongcheng Li, Yandong Gong, Min Zhang, Jie Zhou, Xiaona Zheng, Lu Zheng and Jiaqi Wu and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yanli Ni

32 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yanli Ni China 15 684 426 344 209 191 32 1.3k
Katarzyna Białkowska United States 24 792 1.2× 170 0.4× 488 1.4× 144 0.7× 160 0.8× 56 1.5k
Tao Fang China 25 1.0k 1.5× 308 0.7× 56 0.2× 457 2.2× 185 1.0× 53 1.8k
Johann Kern Germany 18 454 0.7× 73 0.2× 128 0.4× 208 1.0× 79 0.4× 55 863
Satoko Okada Japan 21 547 0.8× 137 0.3× 92 0.3× 287 1.4× 231 1.2× 49 1.3k
G. Vignir Helgason United Kingdom 19 1.1k 1.6× 134 0.3× 56 0.2× 291 1.4× 976 5.1× 40 1.9k
Chun‐Chia Cheng Taiwan 21 419 0.6× 171 0.4× 58 0.2× 260 1.2× 45 0.2× 53 1.1k
Naz Chaudary Canada 22 695 1.0× 161 0.4× 127 0.4× 474 2.3× 19 0.1× 45 1.5k
Masaki Nogawa Japan 19 598 0.9× 108 0.3× 70 0.2× 467 2.2× 70 0.4× 34 1.2k

Countries citing papers authored by Yanli Ni

Since Specialization
Citations

This map shows the geographic impact of Yanli Ni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yanli Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanli Ni more than expected).

Fields of papers citing papers by Yanli Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yanli Ni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yanli Ni. The network helps show where Yanli Ni may publish in the future.

Co-authorship network of co-authors of Yanli Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Yanli Ni. A scholar is included among the top collaborators of Yanli Ni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yanli Ni. Yanli Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Di, Haizhen Wang, Haifeng Chen, et al.. (2024). Ribosome biogenesis is essential for hemogenic endothelial cells to generate hematopoietic stem cells. Development. 151(21). 2 indexed citations
2.
Ni, Yanli, Yandong Gong, Yuan Du, et al.. (2024). Human yolk sac-derived innate lymphoid-biased multipotent progenitors emerge prior to hematopoietic stem cell formation. Developmental Cell. 59(19). 2626–2642.e6. 7 indexed citations
3.
Liu, Chao, Min Zhang, Xinlong Yan, et al.. (2023). Single-cell dissection of cellular and molecular features underlying human cervical squamous cell carcinoma initiation and progression. Science Advances. 9(4). eadd8977–eadd8977. 65 indexed citations
4.
Du, Junjie, Yandong Gong, Yingpeng Yao, et al.. (2023). Divergent expression of Neurl3 from hemogenic endothelial cells to hematopoietic stem progenitor cells during development. Journal of genetics and genomics. 50(9). 661–675. 1 indexed citations
5.
Zhang, Guangyu, Junjie Du, Di Liu, et al.. (2022). Pre-configuring chromatin architecture with histone modifications guides hematopoietic stem cell formation in mouse embryos. Nature Communications. 13(1). 346–346. 21 indexed citations
6.
Zhang, Man, Zhilei Bian, Huidong Guo, et al.. (2022). Decoding lymphomyeloid divergence and immune hyporesponsiveness in G-CSF-primed human bone marrow by single-cell RNA-seq. Cell Discovery. 8(1). 59–59. 10 indexed citations
7.
He, Jian, Tao Huang, Zhijie Bai, et al.. (2021). Hlf Expression Marks Early Emergence of Hematopoietic Stem Cell Precursors With Adult Repopulating Potential and Fate. Frontiers in Cell and Developmental Biology. 9. 728057–728057. 11 indexed citations
8.
Liu, Chen, Yandong Gong, Han Zhang, et al.. (2021). Delineating spatiotemporal and hierarchical development of human fetal innate lymphoid cells. Cell Research. 31(10). 1106–1122. 39 indexed citations
9.
Hou, Siyuan, Zongcheng Li, Xiaona Zheng, et al.. (2020). Embryonic endothelial evolution towards first hematopoietic stem cells revealed by single-cell transcriptomic and functional analyses. Cell Research. 30(5). 376–392. 84 indexed citations
10.
Zhang, Min, Shuofeng Hu, Min Min, et al.. (2020). Dissecting transcriptional heterogeneity in primary gastric adenocarcinoma by single cell RNA sequencing. Gut. 70(3). 464–475. 209 indexed citations
11.
Zeng, Yang, Jian He, Zhijie Bai, et al.. (2020). 3044 – TRACING THE FIRST HEMATOPOIETIC STEM CELL GENERATION IN HUMAN EMBRYO BY SINGLE-CELL RNA SEQUENCING. Experimental Hematology. 88. S52–S52. 3 indexed citations
12.
Gong, Yan, et al.. (2019). Effects of blood sample handling procedures on measurable interleukin 6 in plasma and serum. Journal of Clinical Laboratory Analysis. 33(7). e22924–e22924. 18 indexed citations
13.
Liu, Hui‐Ying, Yuan He, Cheng Lu, et al.. (2019). Efficacy of pulmonary transplantation of engineered macrophages secreting IL-4 on acute lung injury in C57BL/6J mice. Cell Death and Disease. 10(9). 664–664. 23 indexed citations
14.
Zheng, Xiaona, Guangyu Zhang, Yandong Gong, et al.. (2019). Embryonic lineage tracing with Procr-CreER marks balanced hematopoietic stem cell fate during entire mouse lifespan. Journal of genetics and genomics. 46(10). 489–498. 7 indexed citations
15.
Zeng, Yang, Jian He, Zhijie Bai, et al.. (2019). Tracing the first hematopoietic stem cell generation in human embryo by single-cell RNA sequencing. Cell Research. 29(11). 881–894. 131 indexed citations
16.
Ni, Yanli, et al.. (2017). Detection of glycoprotein through fluorescent boronic acid-based molecularly imprinted polymer. Analytica Chimica Acta. 960. 110–116. 65 indexed citations
17.
Zhou, Fan, Xianlong Li, Weili Wang, et al.. (2016). Tracing haematopoietic stem cell formation at single-cell resolution. Nature. 533(7604). 487–492. 263 indexed citations
18.
Wang, Yiwu, Chenchen Zhou, Yanli Ni, et al.. (2015). TRAF6 is required for the GM-CSF-induced JNK, p38 and Akt activation. Molecular Immunology. 65(2). 224–229. 11 indexed citations
19.
Zhang, Lei, Yanmei Yang, Ping Li, et al.. (2015). Delta‐Like‐1 Changes the Immunomodulatory Property of OP9 Cells. Stem Cells International. 2016(1). 1628352–1628352. 2 indexed citations
20.
Li, Zhuan, Fan Zhou, Dongbo Chen, et al.. (2013). Generation of Hematopoietic Stem Cells from Purified Embryonic Endothelial Cells by a Simple and Efficient Strategy. Journal of genetics and genomics. 40(11). 557–563. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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